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  • Supervised Learning

Supervised Learning Courses

Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.


Popular Supervised Learning Courses and Certifications


  • B

    Board Infinity

    Learning MEAN Stack by Building Real world Application

    Skills you'll gain: Angular, Node.JS, Full-Stack Web Development, HTML and CSS, JavaScript Frameworks, User Interface (UI), Application Deployment, Application Frameworks, Back-End Web Development, Front-End Web Development, Hypertext Markup Language (HTML), User Interface (UI) Design, MongoDB, Web Design, Middleware, Bootstrap (Front-End Framework), jQuery, Javascript, Databases, Cascading Style Sheets (CSS)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    65 reviews

    Intermediate · Specialization · 1 - 3 Months

  • N

    New York University

    Overview of Advanced Methods of Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Finance, Market Dynamics, Risking, Financial Modeling, Market Data, Credit Risk, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    85 reviews

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Utiliser BigQuery Machine Learning pour l'inférence

    Skills you'll gain: Big Data, Data Analysis, Google Cloud Platform, Applied Machine Learning, Statistical Inference, Machine Learning Methods, SQL, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

    Skills you'll gain: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling

    4
    Rating, 4 out of 5 stars
    ·
    44 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Glasgow

    Deep learning in Electronic Health Records - CDSS 2

    Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling, Classification Algorithms

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Introduction to Student Assessment

    Skills you'll gain: Teaching, Education and Training, Curriculum Planning, Student Engagement, Instructional and Curriculum Design, Surveys, Instructional Strategies, Peer Review, Report Writing, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • A

    Amazon Web Services

    Introduction to Machine Learning: Art of the Possible

    Skills you'll gain: Strategic Leadership, Strategic Decision-Making, Business Transformation, Business Strategy, Data-Driven Decision-Making, AI Enablement, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Technology Roadmaps

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    18 reviews

    Intermediate · Specialization · 3 - 6 Months

1…424344…600

In summary, here are 10 of our most popular supervised learning courses

  • Learning MEAN Stack by Building Real world Application: Board Infinity
  • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
  • Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
  • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
  • Deep learning in Electronic Health Records - CDSS 2: University of Glasgow
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Foundations of Teaching for Learning: Introduction to Student Assessment: Commonwealth Education Trust
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt

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